A method, computing device and system for monitoring the status of blades in a wind power plant

Abstract

The invention discloses a method for monitoring states of blades in wind power generation equipment, wherein the surface of each blade is provided with a tri-axial acceleration sensor. The method comprises steps: for each blade, obtaining current vibration data and historical vibration data of the blade in a blade swinging direction and a blade swing vibration direction; for each direction, conducting an operation modal analysis on each group of vibration data in the direction to obtain the frequency distribution of main modal frequencies of the blade in the acquisition time of each group of vibration data; obtaining a time change trend of frequency distribution of the main modal frequencies of the blade; selecting frequency lines with a preset number and with the highest energy in the time change trend of frequency distribution; performing statistics on the frequency value distribution of frequency points in the frequency lines with the preset number; and determining whether the state of the blade is abnormal based on monitoring of the change of the statistical frequency value distribution. The invention also discloses a system for monitoring the states of the blades in the wind power generation equipment, calculating equipment, and a computer readable storage medium.

Description

technical field [0001] The invention relates to the field of blade state monitoring, in particular to a method, computing device and system for monitoring the state of blades in wind power generation equipment. Background technique [0002] As an important renewable energy source, wind power has attracted widespread attention. The blades of wind power generation equipment are the key parts of the wind power generation unit to capture wind energy, and their health directly affects the operation of the entire wind power system. The structure and stress of the blades are quite complicated. Because the working environment of the blades is very harsh, spring, summer, autumn and winter, severe heat and cold, lightning, hail, rain, snow, sand and dust may cause damage to the blades of the fan at any time, so the blades become wind power generation equipment. the most accident-prone location. According to statistics, the accidents caused by blade damage account for about one-third...

AI Technical Summary

Problems solved by technology

These monitoring methods have their applicable defect types, advantages and disadvantages, and their technical requirements are relatively strict. The monitoring process is affected by the operating environment, weather conditions and other factors, and usually requires the intervention of complex testing equipment and professional analysts. In order to judge the results, it greatly increases the cost of monitoring and the difficulty of popularization

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